964 resultados para 185-801
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研究了在三维曲面工件上进行激光加工时平面坐标及方程的生成方法、所生成的平面方程与曲面方程之间的误差及其补偿措施。平面生成方法有算术平均法、加权平均法和人工智能神经网络法,后2种方法计算精度高而被采用。
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The information preservation (IP) method and the direct simulation Monte Carlo (DSMC) method are used to simulate the gas flows between the write/read head and the platter of the disk drive (the slider bearing problem). The results of both methods are in good agreement with numerical solution of the Reynolds equation in the cases studied. However, the DSMC method owing to the problem of large sample size demand and the difficulty in regulating boundary conditions at the inlet and outlet was able to simulate only short bearings, while IP simulates the bearing of authentic length ~1000 m ? and can provide more detailed flow information.
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Volume 185
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Santamaría, José Miguel; Pajares, Eterio; Olsen, Vickie; Merino, Raquel; Eguíluz, Federico (eds.)
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目录
- 1.1 化合物的生成焓,反应焓及燃烧热
- 1.2 热化学定律
- 1.3 热力学平衡与自由能,化学平衡与反应自由能
- 1.4 质量作用定律及可逆反应的平衡常数
- 1.5 平衡常数和标准反应自由能的关系
- 1.6 温度和压力对平衡常数的影响
- 1.7 绝热火焰温度计算
- 1.8 化学动力学中采用的几个基本概念和定义
- 1.9 反应的分类
- 1.10 阿累尼乌斯(Arrhenius)定律
- 1.11 双分子反应碰撞理论
- 1.12 反应分子数及反应级数
- 1.13 影响化学反应的因素
- 1.14 链锁反应
- 5.1 燃烧波的两种形式――缓燃(或火焰正常传播)及爆震
- 5.3 马兰特和利-恰及利耶的简化分析法
- 5.4 层流火焰传播速度的无量纲分析法
- 5.5 泽尔多维奇和弗朗克-卡门涅茨基的分区近似解
- 5.6 分区近似解的改进
- 5.7 精确解
- 5.8 物理化学参数对S1的影响及对火焰厚度的影响
- 5.9 火焰传播界限
- 5.10 用层流火焰传播速度计算化学动力参数的方法
- 5.11 火焰的基本性质及火焰的几何学
- 5.12 本生灯火焰稳定的条件
- 5.13 层流火焰传播速度的实验测定
- 5.14 单组元燃料滴燃烧
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Early illustrated book about fish, fishing and fisheries by one of the preeminent scientific investigators of the French enlightenment. This work deals extensively with the species of fish found in Europe and beyond, their habits and habitats, techniques and equipment used in fishing and fish processing, and many other aspects of these endeavours. Roughly 185 engraved plates illustrate the text. The scans for this version come from 3 volumes bound in two parts in folio.
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El objetivo de este trabajo es presentar un marco conceptual integrador de la literatura de capital intelectual. A partir de él, se analizará la elaboración de informes de capital intelectual en Asia, en particular, es una empresa con una posición competitiva privilegiada en India: Reliance Industries LTD.
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Este trabajo pretende mostrar la importancia que, en el contexto de los mercados industriales, tiene una buena gestión de la cartera de clientes. Las peculiaridades propias de estos mercados, así como la tendencia general de la disciplina del marketing, parecen recomendar la creación, desarrollo y mantenimiento de relaciones de intercambio estables y duraderas, ofreciendo soluciones individualizadas a las necesidades concretas de cada cliente. Sin embargo, las empresas también tienen clientes que no resultan interesantes desde el punto de vista de rentabilidad.
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Traz o texto atualizado de leis, decretos e resoluções que dispõem sobre qualidade ambiental no Brasil.
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In spite of over a century of research on cortical circuits, it is still unknown how many classes of cortical neurons exist. Neuronal classification has been a difficult problem because it is unclear what a neuronal cell class actually is and what are the best characteristics are to define them. Recently, unsupervised classifications using cluster analysis based on morphological, physiological or molecular characteristics, when applied to selected datasets, have provided quantitative and unbiased identification of distinct neuronal subtypes. However, better and more robust classification methods are needed for increasingly complex and larger datasets. We explored the use of affinity propagation, a recently developed unsupervised classification algorithm imported from machine learning, which gives a representative example or exemplar for each cluster. As a case study, we applied affinity propagation to a test dataset of 337 interneurons belonging to four subtypes, previously identified based on morphological and physiological characteristics. We found that affinity propagation correctly classified most of the neurons in a blind, non-supervised manner. In fact, using a combined anatomical/physiological dataset, our algorithm differentiated parvalbumin from somatostatin interneurons in 49 out of 50 cases. Affinity propagation could therefore be used in future studies to validly classify neurons, as a first step to help reverse engineer neural circuits.